Shouyao Liu | Analysis | Best Researcher Award

Published on by ScienceFather

Shouyao Liu | Analysis | Best Researcher Award

Prof.Dr. Liu Shouyao , Traditional Chinese Medicine Surgery , China.

👨‍⚕️Liu Shouyao,is an Associate Chief Physician and Deputy Director of the Traditional Chinese Medicine Surgery Department at China-Japan Friendship Hospital. He also serves as the Deputy Director of the Medical Department at the National Center for Integrated Traditional Chinese and Western Medicine Affairs Committee. A dedicated expert in wound healing, he specializes in diabetic foot treatment, venous ulcers, and bedsores using a combination of Traditional Chinese Medicine (TCM) and modern medical techniques. A CPC member, he actively contributes to medical research, education, and committee leadership in integrated medicine. 🇨🇳✨

Publication Profile

Orcid
Scopus

Education & Work Experience 🎓💼

✅ Education 📚
  • 🎓 Master’s Degree in Medicine – Beijing University of Chinese Medicine, June 2012
  • 🎓 Doctorate in Medicine – Beijing University of Chinese Medicine, June 2015
✅ Work Experience 🏥
  • 🏥 Since August 2015 – China-Japan Friendship Hospital, Department of Traditional Chinese Medicine Surgery

Suitability Summary

Dr. Shouyao Liu, a distinguished recipient of the Best Researcher Award, is a Doctor of Medicine, Associate Chief Physician, and Deputy Director of the Traditional Chinese Medicine Surgery Department at China-Japan Friendship Hospital. He is widely recognized for his pioneering research in chronic wound treatment, integrating Traditional Chinese Medicine (TCM) and Western medicine to develop innovative and effective healing techniques. His work has significantly improved diabetic foot care, venous ulcers, pressure sores, radiation ulcers, and chronic mastitis treatment.

Professional Development 🌱🏥

🩺 Dr. Liu specializes in treating chronic wounds using an integrative approach combining traditional Chinese and Western medicine. His expertise spans diabetic foot, pressure sores, radiation ulcers, and mastitis. He employs surgical debridement, ultrasonic therapy, negative pressure wound treatment, and TCM-based methods such as herbal preparations and moist healing techniques. 🌿 His research focuses on early prevention, treatment, and rehabilitation of diabetic foot, reducing complications and improving limb function. 🚑 His dedication to advancing wound healing strategies has made him a key figure in the field of integrative medicine. 📚🔬

Research Focus 🔬📖

🔬 Dr. Liu’s primary research area is the role of TCM external treatment technology in chronic wound inflammation regulation. His work explores how herbal medicine, moist healing, and surgical techniques can accelerate wound healing, reduce infections, and improve patient recovery. He has contributed significantly to the early intervention and management of diabetic foot using integrative techniques. His research also examines novel Chinese herbal formulations to enhance tissue regeneration. 🌱 By integrating ancient wisdom with modern innovations, Dr. Liu aims to develop effective treatments for non-healing wounds, benefiting patients worldwide. 🌏🩹

Awards & Honors 🏅🎖

✅ China-Japan Friendship Hospital “Elite Program” Backbone Talent
✅ 2023 High-Level Clinical Research Special Fund Project Director
✅ Beijing Traditional Chinese Medicine Science and Technology Development Fund Awardee
✅ China-Japan Friendship Hospital Youth Fund Recipient
✅ Beijing University of Chinese Medicine Education Research Grant Recipient
✅ Beijing Municipal Science and Technology Commission Expert Reviewer

Publication Top Notes

“Effect of surface adhesion characteristics on stick-slip mechanism of flexible film/substrate bilayer structure: Multiscale insight” 🏛️ Tribology International, 2025 📅 

Nirav Bhatt | Analysis | Best Researcher Award

Published on by ScienceFather

Dr. Nirav Bhatt | Analysis | Best Researcher Award

Associate Professor at CHARUSAT, India

Dr. Nirav H. Bhatt is an accomplished academic and researcher with a Ph.D. in AI/ML from CHARUSAT. He has over 15 years of experience in teaching, mentoring, and research. Dr. Bhatt has guided more than 50 students, both at the Master’s and Bachelor’s levels, and is recognized as a top-performing mentor by NPTEL. His research, which focuses on low-latency processing and data analytics, has been presented at prestigious international conferences and published in renowned journals. He has also conducted expert talks and seminars on big data and database systems at multiple institutions. Dr. Bhatt has received numerous awards, including recognition from AICTE and Texas Instruments, and has played a pivotal role in promoting NPTEL courses in regional languages. With technical expertise in machine learning, cloud computing, and data science, he continues to contribute significantly to both academia and industry.

Professional Profile 

Education

Dr. Nirav H. Bhatt has a strong academic foundation with a Ph.D. in AI/ML from CHARUSAT, completed in 2022. Prior to his doctorate, he earned a Master’s degree in Computer Engineering (M.E.C.E.) from DDU in 2009 with a score of 66.33%, and a Bachelor’s degree in Information Technology (B.E.I.T.) from Gujarat University in 2006, where he scored 63.76%. He also holds a Diploma in Information Technology (D.I.T.) from TEB, which he completed in 2003 with an impressive score of 71.62%. His academic journey reflects a consistent dedication to computer science and technology. Dr. Bhatt’s doctoral thesis focused on a novel approach for low-latency processing in stream data, further contributing to the field of AI and machine learning. His educational achievements are complemented by certifications such as Microsoft Certified MTA in Database Fundamentals, highlighting his expertise and ongoing commitment to professional growth.

Professional Experience

Dr. Nirav H. Bhatt has over 15 years of professional experience in academia and research. Since 2008, he has been a faculty member at Charotar University of Science and Technology (CHARUSAT), where he currently serves as the Head of the Department of AI-ML and an Associate Professor. During his tenure, Dr. Bhatt has significantly contributed to the development of the AI/ML curriculum and research programs. He has also held a position as an Assistant Professor at C. U. Shah College of Engineering and Technology for a year. Dr. Bhatt has played a pivotal role as a mentor, guiding over 50 students in computer science and receiving recognition as a top-performing mentor by NPTEL. Additionally, he has conducted expert talks, seminars, and online courses in areas such as big data analytics and database systems. His experience extends to industry training with leading organizations, strengthening his practical knowledge in machine learning, cloud computing, and data science.

Research Interest

Dr. Nirav H. Bhatt’s research interests primarily lie in the fields of Artificial Intelligence (AI), Machine Learning (ML), Big Data, and Data Science. His work focuses on developing innovative solutions for low-latency processing in stream data, with an emphasis on enhancing the efficiency and scalability of data-driven systems. Dr. Bhatt’s doctoral research, which introduced a novel approach to stream data processing, has contributed significantly to advancing the understanding of real-time data analytics. His expertise also extends to cloud platforms such as Google Cloud and AWS, where he explores the integration of machine learning algorithms in cloud environments to handle large-scale data processing. Additionally, he is passionate about data visualization, the application of AI in database systems, and the development of intelligent systems for big data analytics. His research is aimed at solving practical challenges in academia and industry, particularly in optimizing data processing and machine learning models for real-world applications.

Award and Honor

Dr. Nirav H. Bhatt has received numerous awards and honors in recognition of his contributions to academia and research. Notably, he has been awarded by AICTE and Texas Instruments for fostering collaboration between government, academia, and industry, particularly through his coordination of the “TI Embedded System Design using MSP430” MOOC in 2021. Dr. Bhatt has also been recognized for his consistent excellence as a mentor, earning the title of Top Performing Mentor by NPTEL for several consecutive years (2016–2020). His leadership in Swayam-NPTEL courses has garnered multiple accolades, including recognition for his translation work in regional languages for courses such as “Fundamentals of Database Systems” and “Programming in C.” Additionally, he was awarded Best Research Paper Presentation at the SSIC-2019 International Springer Conference and received multiple certifications for his contribution to the CHARUSAT NPTEL Local Chapter, achieving AAA and AA grades over several years. These awards highlight his dedication to education and research.

Conclusion

Dr. Nirav H. Bhatt is an exceptional candidate for the Best Researcher Award. His academic achievements, extensive contributions to the field of AI and ML, as well as his mentoring roles, distinguish him as a leader in both research and education. His awards, recognition by NPTEL, and commitment to research make him a deserving nominee. However, focusing on expanding his international collaborations and enhancing the practical impact of his research could propel him to even greater heights in the academic community. Based on his accomplishments and contributions, he shows a strong potential to receive the Best Researcher Award.

Publications Top Noted

  • Smart systems and IoT: Innovations in computing
    Authors: AK Somani, RS Shekhawat, A Mundra, S Srivastava, VK Verma
    Year: 2020
    Citation: 35
  • A survey on comparative study of wireless sensor network topologies
    Authors: J Soparia, N Bhatt
    Year: 2014
    Citation: 33
  • Performance comparison of different sorting algorithms
    Authors: P Prajapati, N Bhatt, N Bhatt
    Year: 2017
    Citation: 21
  • Ranking of classifiers based on dataset characteristics using active meta learning
    Authors: N Bhatt, A Thakkar, A Ganatra, N Bhatt
    Year: 2013
    Citation: 13
  • Survey and evolution study focusing comparative analysis and future research direction in the field of recommendation system specific to collaborative filtering approach
    Authors: A Patel, A Thakkar, N Bhatt, P Prajapati
    Year: 2019
    Citation: 11
  • An efficient approach for low latency processing in stream data
    Authors: N Bhatt, A Thakkar
    Year: 2021
    Citation: 10
  • A review of soft computing techniques for time series forecasting
    Authors: A Sanghani, N Bhatt, NC Chauhan
    Year: 2016
    Citation: 10
  • Survey on Anonymization in Privacy Preserving Data Mining
    Authors: F Presswala, A Thakkar, N Bhatt
    Year: 2015
    Citation: 7
  • Experimental Analysis on Processing of Unbounded Data
    Authors: N Bhatt, A Thakkar
    Year: 2019
    Citation: 6
  • Proceedings of the international conference on ismac in computational vision and bio-engineering 2018 (ismac-cvb)
    Authors: D Pandian, X Fernando, Z Baig, F Shi
    Year: 2019
    Citation: 6
  • A survey on issues of data stream mining in classification
    Authors: R Jani, N Bhatt, C Shah
    Year: 2018
    Citation: 6
  • Deep learning: a new perspective
    Authors: N Bhatt, N Bhatt, P Prajapati
    Year: 2017
    Citation: 6
  • Algorithm selection via meta-learning and active meta-learning
    Authors: N Bhatt, A Thakkar, N Bhatt, P Prajapati
    Year: 2020
    Citation: 5
  • Query expansion for effective retrieval from microblog
    Authors: S Patel, N Bhatt, C Shah
    Year: 2017
    Citation: 5
  • A survey of information retrieval on microblog
    Authors: S Patel, N Bhatt, C Shah
    Year: 2017
    Citation: 5

Isabelle Clerc-Urmès | Statistical | Best Researcher Award

Published on by ScienceFather

Isabelle Clerc-Urmès | Statistical | Best Researcher Award

Dr. Isabelle Clerc-Urmès , Institut national de recherche et de sécurité, France.

Publication profile

Orcid
Scopus

Suitability For The Award

Dr. Isabelle Clerc-Urmès demonstrates exceptional expertise in biostatistics and health economics, with extensive experience in research, teaching, and professional practice. Her multidisciplinary background integrates advanced statistical modeling with health behavior analysis, making her a distinguished candidate for the Best Researcher Award.

Professional Development 

Awards and Honors

  • 🏆 2014: Qualification for Maître de Conférences by the French National University Council (CNU).
  • 🌟 2011: Doctoral Thesis with honors and jury commendations at Aix-Marseille University.
  • 📜 2020: Official tenure as Hospital Biostatistician, CHRU Nancy.
  • 🧪 Developed statistical tools and packages recognized for innovation in R and STATA.
  • 📊 Contributed to impactful epidemiological and public health studies at INSERM and INRS.

Publications

  • “From unknown to familiar: An exploratory longitudinal field study on occupational exoskeletons adoption”
  • “A New Approach to Prevent Injuries Related to Manual Handling of Carts: Correcting Resistive Forces between Floors and Wheels to Evaluate the Maximal Load Capacity”
  • “The Adoption of Occupational Exoskeletons: From Acceptability to Situated Acceptance, Questionnaire Surveys”
  • “Predictive factors of return-to-work trajectory after work-related rotator cuff syndrome: A prospective study of 96 workers”
  • “Arterial Cannulation Simulation Training in Novice Ultrasound Users”
  • “A Magnetic Resonance Imaging Index to Predict Crohn’s Disease Postoperative Recurrence: The MONITOR Index”
  • “Training novice in ultrasound-guided venipuncture: A randomized controlled trial comparing out-of-plane needle-guided versus free-hand ultrasound techniques on a simulator”
  • “Incidence of and Risk Factors for Colorectal Strictures in Ulcerative Colitis: A Multicenter Study”
  • “Risk of thrombosis, pregnancy morbidity or death in antiphospholipid antibodies positive patients with or without thrombocytopenia”

Meng Qiu | Analysis Awards | Best Researcher Award

Published on by ScienceFather

Assoc Prof Dr. Meng Qiu | Analysis Awards | Best Researcher Award

Assoc Prof Dr. Meng Qiu, Ocean University of China, China

Associate Professor and Ph.D. Supervisor at the College of Chemistry and Chemical Engineering, Ocean University of China. His research focuses on nanobiomedicine and optoelectronics, including the preparation of low-dimensional nanomaterials and their biomedical applications. With over 80 publications and an H-index of 40, Dr. Qiu has received multiple awards, including the Shenzhen Natural Science Award and recognition as a top global scientist. He actively contributes as an editorial board member and guest editor for several journals.

Publication profile

Google Scholar

Education Background

Assoc. Prof. Dr. Meng Qiu holds a diverse educational background. He earned his Ph.D. in Physical Chemistry (2009-2013) from the State Key Laboratory of Molecular Reaction Dynamics, Institute of Chemistry, Chinese Academy of Sciences. He completed his M.S. in Applied Chemistry (2006-2009) at the Key Laboratory of Marine Chemistry Theory and Technology, Ocean University of China, following a B.S. in Applied Chemistry (2002-2006) at Qilu University of Technology. Dr. Qiu’s postdoctoral research includes positions at Shenzhen University (2016-2019) and the Qingdao Institute of Bioenergy and Bioprocess Technology (2014-2016) and served as a Research Professor at Korea University (2017-2018). 🌊🔬

 

Awards and Recognitions

Assoc. Prof. Dr. Meng Qiu has been honored with prestigious awards for his significant contributions to the field of nanobiomedicine. In 2023, he received the Second Prize of the Qingdao Natural Science Award for his groundbreaking work titled “Controllable Preparation and Photodynamic Therapy Mechanism of Two-Dimensional Pnictogens.” This research highlighted his innovative approach to preparing nanomaterials with potential therapeutic applications. Additionally, he was awarded the First Prize of the Shenzhen Natural Science Award in 2023 for his work on “Large-Scale Controllable Preparation of Two-Dimensional Phosphorene and Its Biomedical Applications.” This recognition underscores his excellence in developing novel nanomaterials that can significantly impact biomedical fields. Dr. Qiu’s achievements not only showcase his research expertise but also reflect his commitment to advancing science for societal benefit. 🌟🔬🏅

 

Research Interests

Assoc. Prof. Dr. Meng Qiu’s research focuses on the design, preparation, and functionalization of novel nanomaterials. He explores the optoelectronic properties of these materials and their interactions at the nanobiological interface, aiming to bridge the gap between nanotechnology and biology. His work also delves into the development of intelligent nanodiagnostic and therapeutic platforms and innovative biosensors, which have significant applications in medical diagnostics and treatment. Through his cutting-edge research, Dr. Qiu contributes to advancing the field of nanobiomedicine, enhancing our understanding of how nanomaterials can be utilized for health innovations. 🌍🧪

 

Publication Top Notes

  • “Novel concept of the smart NIR-light–controlled drug release of black phosphorus nanostructure for cancer therapy” – M Qiu et al. | Cited by: 755 | Year: 2018 📄✨
  • “Molecular dynamics and density functional theory study on relationship between structure of imidazoline derivatives and inhibition performance” – S Xia, M Qiu et al. | Cited by: 440 | Year: 2008 🔬🔍
  • “Omnipotent phosphorene: a next-generation, two-dimensional nanoplatform for multidisciplinary biomedical applications” – M Qiu et al. | Cited by: 403 | Year: 2018 🧬🌐
  • “Biocompatible and biodegradable inorganic nanostructures for nanomedicine: silicon and black phosphorus” – M Qiu et al. | Cited by: 266 | Year: 2019 💊🌱
  • “Conceptually novel black phosphorus/cellulose hydrogels as promising photothermal agents for effective cancer therapy” – C Xing, S Chen, M Qiu et al. | Cited by: 259 | Year: 2018 🧪🔥
  • “Electrochemical behavior of Q235 steel in saltwater saturated with carbon dioxide based on new imidazoline derivative inhibitor” – FG Liu, M Du, M Qiu | Cited by: 258 | Year: 2009 ⚙️🌊
  • “The rise of 2D photothermal materials beyond graphene for clean water production” – Z Xie, Y Duo, M Qiu et al. | Cited by: 243 | Year: 2020 💧📈
  • “Current progress in black phosphorus materials and their applications in electrochemical energy storage” – M Qiu et al. | Cited by: 239 | Year: 2017 🔋🔋
  • “Graphene oxide/black phosphorus nanoflake aerogels with robust thermo-stability and significantly enhanced photothermal properties in air” – C Xing, M Qiu et al. | Cited by: 225 | Year: 2017 ☀️🌡️
  • “Black phosphorus-based photothermal therapy with aCD47-mediated immune checkpoint blockade for enhanced cancer immunotherapy” – Z Xie, M Qiu et al. | Cited by: 177 | Year: 2020 🦠🛡️

Conclusion

Dr. Meng Qiu’s extensive publication record, significant impact in his field, recognition through awards, and leadership roles in academic circles make him a highly suitable candidate for the Research for Best Researcher Award. His innovative research and contributions to nanobiomedicine and optoelectronics position him as a leader in his field, deserving of this recognition.

 

 

Haozhuo Tong | Analysis of time series | Best Researcher Award

Published on by ScienceFather

Mrs.Zuyong Yan | Design of Materials | Best Researcher Award

Mrs.Haozhuo Tong , Xijing University, China.

Mrs. Haozhuo Tong is a distinguished academic affiliated with Xijing University in China. She is recognized for her expertise in [insert field or specialization], with a focus on [mention specific areas of research or teaching]. Mrs. Tong’s contributions to academia include [briefly mention notable achievements, publications, or research projects]. She is dedicated to advancing knowledge and fostering academic excellence at Xijing University, making significant impacts in her field both locally and internationally.

Publication Profile

Orcid

Education  :

Xijing University,Electronic Information Master’s Degree (August 2021 – January 2024),Research Direction: Deep learning, time series analysis, model optimization,Research Results,”Design of Distributed Student Management System Based on Spring Cloud Framework” (published,”Deep Learning-Based Distantly Supervised Relation Extraction” (published),”Segmented Frequency Domain Correlation Prediction Model for Long-Term Series Forecasting using,Transformer”

Work Experience:

Science and Technology Group Corporation Cloud Network Technology Co., Ltd.,Java Development InternMay 2022 – October 2022,School of Mobile Communications, Network and Information Management Center,Java Development Engineer,October 2018 – April 2020

Technical Skills:

Blockchain Development: Proficient in Solidity with experience in ERC20 token standards and development frameworks like Truffle and Hardhat.,Web Development: Skilled in Next.js, React, Vue.js, and Material UI for building responsive and efficient frontend interfaces.,Backend Development: Experienced in JavaSE, Spring, SpringBoot, MyBatis, MySQL, Redis, and RocketMQ for building robust server-side applications.,Development Tools: Proficient with Git, Docker, and CI/CD pipelines for version control and deployment automation.,Database Management: Expertise in SQL optimization, with hands-on experience in MySQL and Redis databases.

Awards and Honor:

  • Research: Published papers and ongoing research in deep learning and time series analysis
  • Competitions: Multiple awards in national and regional university computer competitions

Skills:

  • Technical Skills: Deep learning, time series analysis, model optimization, ERC721, Solidity, Hardhat, Remix, Next.js, Material UI
  • Tools: RainbowKit, wagmi, Spring Cloud Framework

Project Experience:

Rainbow Horse NFT Trading Platform (November 2023 – December 2023),Project Description: Implemented and innovated functions for an NFT platform:,Minting random NFTs,Synthesizing NFTs,Trading NFTs,Platform management,Technologies Used: ERC721 (OpenZepplin), Hardhat, Remix, Next.js, Material UI, RainbowKit, wagmi

Publications 📚📝

  • istributed Student Management System Design Based on Spring Cloud Framework
    • Description: This paper has been published.
  • Deep Learning-Based Distantly Supervised Relation Extraction
    • Description: This paper has been published.
  • Segmented Frequency Domain Correlation Prediction Model for Long-Term Series Forecasting using Transformer
    • Description: This paper is currently under review.